Top cross section using Jet Probability 

 

- Authors: Javier Cuevas, Gervasio Gómez, Enrique Palencia, Teresa Rodrigo, Luca Scodellaro and Rocío Vilar. Send us an e-mail

- Introduction:


In this analysis we present a measurement of the production cross section of top-antitop pairs in approximately 162 inverse picobarns of Run 2 data at CDF. The Jet Probability tagger is applied to events with a lepton + missing transverse energy signature. Backgrounds are computed from Run 2 data and Monte Carlo simulation. Signal acceptance is determined from Run 2 signal (top mass=175~GeV/c) Pythia Monte Carlo. Finally we measure

- Documents:

- Blessed Plots and Tables:

  • Yield of events in 161.6 inverse picobarns of RunII data (eps)

  • Selection acceptance and tagging efficiency for top pair production events (eps)

  • Mistag background estimate from the negative tag rate and the mistag estimate scaled down by the Non-W background fraction (eps)

  • Pretag event counts and fraction of non-W events in the missing transverse energy and lepton isolation sidebands (eps)

  • The estimated non-W contribution derived using the tagged events in the missing transverse energy and lepton isolation sidebands (eps)

  • JetProb tagging efficiencies for Wbb, Wcc and Wc events in realistic Run 2 simulation. 1B and 2B (1C and 2C) indicate the Wbb (Wcc) events with respectively one and two b-jets (c-jets) reconstructed (eps)

  • Summary of the background estimate (eps)

  • Tagged background contributions and results from data as a function of event jet multiplicity (eps)

  • Summary of the background estimate after correction for signal contribution to the pretagged sample (eps)

  • Summary of statistical uncertainties (eps)

  • Summary of systematic uncertainties (eps)